Study Evaluates Machine Learning Models for Sepsis and Stroke Detection Using EMS Data

Harvard Study Finds AI Matches or Exceeds Emergency Physician Diagnostic Accuracy

A Medscape Insights article discusses a Harvard Medical School study finding that AI matched or exceeded the diagnostic accuracy of attendin

Harvard study finds AI outperforms doctors in emergency triage diagnoses

A Harvard study found that AI systems outperformed human doctors in emergency medicine triage, diagnosing more accurately in high-pressure s

A machine-learning model trained on thousands of electrocardiogram recordings identifies a previously unrecognized group of at-risk people

AI model trained on routine ECGs detects hidden patterns linked to sudden cardiac death risk, UC Berkeley study finds

UC Berkeley researchers have developed an AI model trained on routine ECGs that can detect hidden patterns associated with sudden cardiac de

Study finds 13% increase in ER death rates after private equity hospital acquisitions

A study published in Annals of Internal Medicine found that patient death rates in hospital emergency departments rose by 13% after private

Harvard-Emory ECG Database v4.0: Large Collection of 12-Lead Electrocardiography Recordings

The Harvard-Emory ECG Database v4.0 is a comprehensive collection of 12-lead electrocardiography (ECG) recordings developed by researchers f